You'd reach for this when you need to flag suspicious card transactions based on geographic patterns and behavioral anomalies. It provides AI-powered risk scoring that analyzes proximity between purchases, velocity checks, and location data to catch fraud in real time. The source doesn't detail specific endpoints, but the core use case is clear: feed it transaction data and get back risk assessments that help you decide whether to block, challenge, or allow a payment. Useful if you're building payment systems, e-commerce checkout flows, or fraud monitoring dashboards where you need more than basic rule-based detection.
claude mcp add --transport stdio io.github.dgtalquantumleap-ai-vigil-fraud-alert -- npx -y vigil-fraud-alert-mcp